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Tobacco stem extracting method based on local symmetric relation

An extraction method and a partially symmetrical technology, applied in the application field of tobacco stem detection, can solve problems such as time-consuming, and achieve the effects of easy application and high detection rate of tobacco stems

Active Publication Date: 2016-06-08
XI AN JIAOTONG UNIV
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  • Description
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AI Technical Summary

Problems solved by technology

[0004] In addition, the current sorting of tobacco leaves mainly relies on manual operations, and it is a time-consuming task to sort tobacco leaves one by one from a large amount of tobacco leaves.

Method used

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  • Tobacco stem extracting method based on local symmetric relation
  • Tobacco stem extracting method based on local symmetric relation
  • Tobacco stem extracting method based on local symmetric relation

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Embodiment Construction

[0037] The specific details in each step of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0038] The present invention proposes a method for extracting tobacco stems based on local symmetry relations, the steps are as follows:

[0039] Step A: Use local symmetry transformation on the original tobacco leaf image to obtain the symmetry feature map and stroke width feature map. The symmetry feature image obtained by performing local symmetry transformation on the original tobacco leaf image is as follows: figure 2 As shown, it can be found that the tobacco stem area is more prominent in the symmetrical feature image than the background area and the tobacco leaf area;

[0040] The concrete steps of described step A are as follows:

[0041] Step A01: Input the RGB image of a pair of tobacco leaves such as figure 1As shown, the image is first sharpened by USM to enhance the edge. The specific process of the USM sharpenin...

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Abstract

The invention discloses a tobacco stem extracting method based on a local symmetric relation. The method mainly includes the steps that 1, a symmetry characteristic graph and a stroke width characteristic graph are obtained through a transform method based on local symmetry, then the symmetry characteristic graph, the stroke width characteristic graph and an original graph are combined into a five-channel characteristic space, and then a region growing algorithm is used in the characteristic space to obtain tobacco stem communicating regions; 2, a hierarchical clustering method is used for connecting multiple fractured communicating regions belonging to one tobacco stem, and a communicating region filtering method based on a threshold value is used for obtaining the last main tobacco stems; after the tobacco stems are extracted, tobacco leaves are sorted by using the positions of the tobacco stems, or stems of the tobacco leaves are rejected to ensure cigarette quality.

Description

technical field [0001] The invention belongs to the application field of detecting tobacco stems, and specifically proposes an algorithm for detecting tobacco stems using local symmetry relations and a method for connecting broken tobacco stems using a hierarchical clustering method. Background technique [0002] Tobacco is one of the important economic crops in our country. The tobacco industry has always been a major profit and tax household in the country and occupies an important position in the national economic income. At the same time, my country is currently the largest tobacco producing and consuming country in the world. The total cigarette output accounts for 30% of the world's total cigarette output, while tobacco consumption also accounts for one-third of the world's total. The profits and taxes of the tobacco industry account for 10% of China's fiscal revenue. one or so. With the improvement of people's requirements for the quality of cigarette products and the...

Claims

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Application Information

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IPC IPC(8): G06K9/40G06K9/42G06K9/62
CPCG06V10/32G06V10/30G06V2201/06G06F18/231G06F18/22
Inventor 宋永红陈奇张元林
Owner XI AN JIAOTONG UNIV
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